Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Despite all of the safeguards and fraud detection systems in place, Capital One failed to monitor or detect the unauthorized activity. ... LEVERAGING AI AND MACHINE LEARNING FOR FRAUD DETECTION.

The implemented system reduced fraud liability for issuing banks significantly while decreasing false positive alerts. This ...

For the past 10 years, the credit giant has incorporated some form of machine learning algorithms to monitor transactions in real time and detect unusual patterns such as multiple failed logins ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

The bibliometric analysis identified four major thematic clusters: machine learning for fraud detection, artificial ...

Furthermore, employing a hybrid approach that combines rules-based systems with machine learning can strike a balance between precision and adaptability, yielding more robust fraud detection ...

“We need fraud detection systems that are not only technically robust but also scalable and accessible to the very businesses that need them most.” Fighting Financial Deception using Deep Learning ...

Mastercard is using AI to help detect and prevent credit card fraud. The company says the tech can flag unusual patterns and block fraudulent transactions. This article is part of "AI in Action ...

Mastercard is using AI to help detect and prevent credit card fraud. The company says the tech can flag unusual patterns and block fraudulent transactions. This article is part of "AI in Action ...